Potentials for bi-directional guide-path for automated guided vehicle based systems

Egbelu, Pius J.; Tanchoco, J. M. A.

doi:10.1080/00207548608919789

Cited by 152 publications

(52 citation statements)

References 3 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the dual lanes system needs more space and is more costly. In literature, there are only few studies on the conventional bidirectional guide-path system (Egbelu and Tanchoco, 1986;Gaskins et al, 1989). Egbelu and Tanchoco (1986) provide a guideline for design of singlelane bidirectional guide-path systems.…”

Section: Bidirectional Guide-path Systemmentioning

confidence: 99%

“…In literature, there are only few studies on the conventional bidirectional guide-path system (Egbelu and Tanchoco, 1986;Gaskins et al, 1989). Egbelu and Tanchoco (1986) provide a guideline for design of singlelane bidirectional guide-path systems. Gaskins et al (1989) propose a model for a bidirectional guide-path system in which the travel distance and the number of lanes are minimized.…”

Section: Bidirectional Guide-path Systemmentioning

confidence: 99%

“…Egbelu and Tanchoco (1986) develop an algorithm to route vehicles through an intersection without conflict. Their model assumes that all nodes have buffers, that the buffers are of infinite capacity and the time required for a vehicle to steer into and out of the buffer is small compared to the overall travel time required.…”

Section: Control the Traffic At Intersectionsmentioning

confidence: 99%

See 2 more Smart Citations

A review of design and control of automated guided vehicle systems

LeAnh

Koster

2006

European Journal of Operational Research

364

120

View full text Add to dashboard Cite

This paper presents a review on design and control of automated guided vehicle systems. We address most key related issues including guide-path design, estimating the number of vehicles, vehicle scheduling, idle-vehicle positioning, battery management, vehicle routing, and conflict resolution. We discuss and classify important models and results from key publications in literature on automated guided vehicle systems, including often-neglected areas, such as idlevehicle positioning and battery management. In addition, we propose a decision framework for design and implementation of automated guided vehicle systems, and suggest some fruitful research directions. 5001-6182 Business AbstractThis paper presents a review on design and control of automated guided vehicle systems. We address most key related issues including guide-path design, estimating the number of vehicles, vehicle scheduling, idle-vehicle positioning, battery management, vehicle routing, and conflict resolution. We discuss and classify important models and results from key publications in literature on automated guided vehicle systems, including often-neglected areas, such as idle-vehicle positioning and battery management. In addition, we propose a decision framework for design and implementation of automated guided vehicle systems, and suggest some fruitful research directions.

show abstract

Section: Bidirectional Guide-path Systemmentioning

confidence: 99%

Section: Bidirectional Guide-path Systemmentioning

confidence: 99%

Section: Control the Traffic At Intersectionsmentioning

confidence: 99%

See 1 more Smart Citation

A review of design and control of automated guided vehicle systems

LeAnh

Koster

2006

European Journal of Operational Research

364

120

View full text Add to dashboard Cite

show abstract

“…Also, this paper considers e ect of work ow interference as a major concern, which has previously been considered very poorly, in estimating the makespan. The cross tra c of transporters can result in considerable delays [5]. These delays lead to an increase in cycle times of production system.…”

Section: Introductionmentioning

confidence: 99%

An ANN-based optimization model for facility layout problem using simulation Technique

Azimi

Soofi

2017

Scientia Iranica

View full text Add to dashboard Cite

Abstract. A real manufacturing system faces lots of real-world situations, such as stochastic behaviors; the lack of attention to this issue is noticeable in the previous research. The aim of this paper is to nd the optimum layout and the most appropriate handling transporters for the problem by a novel solving algorithm. The new model contains two objective functions including the Material Handling Costs (MHC) and the complication time of jobs (makespan). Real-world situations such as stochastic processing times, random breakdowns, and cross tra cs among transporters are considered in this paper. Several experiment designs have been produced using DOE technique in simulation software and an Arti cial Neural Network (ANN) as a meta-model is used to estimate the objective functions in the metaheuristic algorithms. A hybrid non-dominated sorting genetic algorithm (H-NSGA-II) is applied for the optimization task. The proposed methodology is evaluated through a real case study. First, simulation model is validated by comparing it with a real data set. Then, the prediction performance of ANN is investigated. Finally, the ability of H-NSGA-II in searching the solution space is compared with the traditional NSGA-II. The results show that the proposed approach, combing simulation, ANN, and H-NSGA-II, provides promising solutions for practical applications.

show abstract

“…AGVs can be further classified as unidirectional, bidirectional, unit load and multi load, etc. Unidirectional AGVs can cruise forward on a guide path in single direction only while bidirectional AGVs are capable to steer in both directions on the same guide path (Egbelu & Tanchoco, 1986;Gaskins et al, 1989;Gaskins & Tanchoco, 1987). Unit load AGV can transport single load from one work center to another while multi load AGV system is capable of picking up and deliver more than one load at the same time to any work center which increase through material handling system and FMS facility considerably (Ulusoy et al, 1997;Van Der Meer, 2000).…”

Section: Introductionmentioning

confidence: 99%